Identifying through Flows for Recovering Latent Representations. - Shen Li 004; Bryan Hooi; Gim Hee Lee (ICLR, 2020)

Spherical Confidence Learning for Face Recognition. - Shen Li 004; Jianqing Xu; Xiaqing Xu; Pengcheng Shen; Shaoxin Li 001; Bryan Hooi (CVPR, 2021)

Probabilistic Contrastive Loss for Self-Supervised Learning. - Shen Li 004; Jianqing Xu; Bryan Hooi (CoRR, 2021)

Trust, but Verify: Using Self-supervised Probing to Improve Trustworthiness. - Ailin Deng; Shen Li 004; Miao Xiong; Zhirui Chen; Bryan Hooi (ECCV (13), 2022)

Neural PCA for Flow-Based Representation Learning. - Shen Li 004; Bryan Hooi (IJCAI, 2022)

Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation. - Miao Xiong; Shen Li 004; Wenjie Feng 001; Ailin Deng; Jihai Zhang 002; Bryan Hooi (Trans. Mach. Learn. Res., 2022)

Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection. - Jiaying Wu; Shen Li 004; Ailin Deng; Miao Xiong; Bryan Hooi (CIKM, 2023)

Probabilistic Knowledge Distillation of Face Ensembles. - Jianqing Xu; Shen Li 004; Ailin Deng; Miao Xiong; Jiaying Wu; Jiaxiang Wu 002; Shouhong Ding; Bryan Hooi (CVPR, 2023)

Proximity-Informed Calibration for Deep Neural Networks. - Miao Xiong; Ailin Deng; Pang Wei W. Koh; Jiaying Wu; Shen Li 004; Jianqing Xu; Bryan Hooi (NeurIPS, 2023)

Proximity-Informed Calibration for Deep Neural Networks. - Miao Xiong; Ailin Deng; Pang Wei Koh; Jiaying Wu; Shen Li 004; Jianqing Xu; Bryan Hooi (CoRR, 2023)

ID3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition. - Jianqing Xu; Shen Li 004; Jiaying Wu; Miao Xiong; Ailin Deng; Jiazhen Ji; Yuge Huang; Guodong Mu; Wenjie Feng 001; Shouhong Ding; Bryan Hooi (NeurIPS, 2024)

ID3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition. - Shen Li 004; Jianqing Xu; Jiaying Wu; Miao Xiong; Ailin Deng; Jiazhen Ji; Yuge Huang; Wenjie Feng 001; Shouhong Ding; Bryan Hooi (CoRR, 2024)

EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR. - Zhengyuan Peng; Jianqing Xu; Shen Li 004; Jiazhen Ji; Yuge Huang; Jingyun Zhang; Jinmin Li; Shouhong Ding; Rizen Guo; Xin Tan 002; Lizhuang Ma (CoRR, 2025)